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The Expressions And Analyses Of Long Noncoding RNAs In Bronchial Asthma And Chronic Obstructive Pulmonary Disease

Posted on:2020-06-08Degree:DoctorType:Dissertation
Country:ChinaCandidate:X F QiFull Text:PDF
GTID:1364330590459020Subject:Internal medicine
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Objective: The aim of the study was to determine the expression profiles of messenger RNAs(m RNAs)and long non-coding RNAs(lnc RNAs)in CD4+T cell of asthmatic patients and to predict the biological function and signaling pathway of lnc RNAs.And we sought to explore the clinical value of lnc RNAs as biomarkers of asthma.Methods: Differentially expression profiles of lnc RNAs from CD4+T cells of asthmatic patients and healthy controls were analyzed by Arraystar Human Lnc RNA Microarray Version 3.0.Gene Ontology and pathway analysis were performed to explore the function of lnc RNAs.Differentially expressed lnc RNAs were validated by q RT-PCR.The clinical value was tested by ROC curve analysis and correlation with the clinical data.The lnc RNA-m RNA co-expression network was performed to find more genes associated with lnc RNAs.Results: Microarray showed 2725 differentially expressed lnc RNAs with 863 upregulated and 1862 downregulated.And we found 2676 differentially expressed m RNAs with 1320 upregulated and 1356 downregulated.QRT-PCR was performed to validate the data.We found 4 up-regulated or down-regulated lnc RNAs:ENST00000444682,ENST00000566098,ENST00000583179,and ENST00000579468 with the AUC of ROC curves calculated as 0.7058,0.9026,0.8361,0.8316 respectively.Bioinformatics analyses were performed to explore the function of lnc RNAs.Spearman correlation test showed that ENST00000566098 was positively related with IL-13 and ENST00000579468 was positively related with peak expiratory flow.Conclusions: The lnc RNA and m RNA expression profiles were different in CD4+T cells of asthmatic patients compared with normal controls.Specific lnc RNAs aberrantly expressed in CD4+T cells may play a role in the development of asthma.The differentially expressed lnc RNAs may be used as biomarker to diagnosis the disease.Objective: The aim of the study was to determine the expression profiles of messenger RNAs(m RNAs)and long non-coding RNAs(lnc RNAs)in CD4+T cell of AECOPD patients,stable-COPD patients.And we sought for the clinical value of lnc RNAs as biomarker to predict COPD or AECOPD,and biological function of them.Methods: Differentially expression profiles of lnc RNA from CD4+T cells of AECOPD patients,stable-COPD patients and controls were analyzed by Arraystar Human Lnc RNA Microarray Version 3.0.Gene Ontology and pathway analysis were performed to explore the function of lnc RNAs.Differentially expressed lnc RNAs were validated by q RT-PCR.The clinical value was tested by ROC curve analysis.And Spearman correlation test was performed to explore the clinical value of them.Results: Microarray showed 1517 differentially expressed lnc RNAs(DElnc RNAs)and2289 differentially expressed m RNAs(DEm RNAs)between AECOPD and control,2284 DElnc RNAs and 3364 DEm RNAs between AECOPD and stable-COPD,1517 DElnc RNAs and 2158 DEm RNAs between stable-COPD and controls.And q RT-PCR showed that ENST00000447867 and NR-026690 were significantly high in AECOPD patients compared with stable-COPD patients and controls.NR-026690 could be a potential biomarker for AECOPD with AUC of ROC curve as 0.8377.The bioinformation analysis showed that the co-expressed m RNAs were enriched in “regulation of Th17 immune response” and “c-AMP signaling pathway”.We found positive relationship between lnc RNAs and RAPGEF3 by q RT-PCR.And lnc RNA-mi RNA-m RNA network showed that lnc RNAs shared the same mi RNA binding sites with RAPGEF3.Conclusions: The lnc RNA and m RNA expression profiles were different in CD4+T cells of AECOPD patients and stable-COPD patients compared with normal controls.And ENST00000447867 and NR-026690 might be potential biomarkers to diagnose AECOPD and distinguish AECOPD from stable-COPD.ENST00000447867 and NR-026690 might regulate the expression of RAPGEF3 as mi RNA-sponges.
Keywords/Search Tags:bronchial asthma, long noncoding RNA, CD4~+T cell, cytokine, biomarker, chronic obstructive pulmonary disease
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